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Binning Explorer

Bin data and export creditscorecard object or generate function

Description

The Binning Explorer app enables you to manage binning categories for a creditscorecard object. Use screenpredictors to pare down a potentially large set of predictors to a subset that is most predictive of the credit score card response variable. You can then use this subset of predictors when creating a MATLAB® table of data. After creating a table of data in your MATLAB workspace, or after using creditscorecard to create a creditscorecard object, use the Binning Explorer to:

  • Select an automatic binning algorithm with an option to bin missing data. (For more information on algorithms for automatic binning, see autobinning.)

  • Shift bin boundaries.

  • Split bins.

  • Merge bins.

  • Export a creditscorecard object or generate a function that creates a creditscorecard object.

Binning Explorer app

Open the Binning Explorer App

  • MATLAB toolstrip: On the Apps tab, under Computational Finance, click the app icon.

  • MATLAB command prompt:

    • Enter BinningExplorer. For ways to use the app programmatically, see Programmatic Use.

Programmatic Use

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binningExplorer(data) opens a table, data, in the Binning Explorer app.

binningExplorer(data,Name=Value) specifies optional name-value arguments that you can use to set the properties of a creditscorecard object during a Binning Explorer session. For example, to display the missing data for a predictor in a separate bin labeled <missing>, set BinMissingData to true.

binningExplorer(data,BinMissingData=true)
For a list of arguments, see creditscorecard.

binningExplorer(sc) opens the creditscorecard object sc in the Binning Explorer app.

Version History

Introduced in R2016b

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